Fault-Tolerant Quaternion Neural Network Fast Terminal Sliding Mode Control for Guidance and Navigation of UAV’s under Actuator Faults-Reference-Cited by-同舟云学术

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Fault-Tolerant Quaternion Neural Network Fast Terminal Sliding Mode Control for Guidance and Navigation of UAV’s under Actuator Faults

Published:2024-05-15 Issue: Volume:34 Page:1-6
ISSN:
Container-title:2024 International Conference on Control, Automation and Diagnosis (ICCAD)
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Author:

Serrano Fernando E.¹,Taher Azar Ahmad²,Ahmed Saim²,Kamal Nashwa Ahmad³,Kasim Ibraheem Ibraheem⁴

Affiliation:

1. Universidad Nacional Autónoma de Honduras Tegucigalpa,Instituto de Investigación en Energía,Honduras

2. Prince Sultan University,College of Computer and Information Sciences,Riyadh,Saudi Arabia

3. Cairo University,Faculty of Engineering,Giza,Egypt

4. University of Baghdad,College of Engineering,Department of Electrical Engineering,Baghdad,Iraq,10001

Funder

Prince Sultan University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553373/10553653/10554036.pdf?arnumber=10554036

Reference35 articles.

1. Design of a fault detection and diagnose system for intelligent unmanned aerial vehicle navigation system

2. Robust model reference adaptive control for five-link robotic exoskeleton

3. Stabilization and Control of Mechanical Systems with Backlash

4. Autonomous navigation and obstacle avoidance of an omnidirectional mobile robot using swarm optimization and sensors deployment

5. A Novel Actuator Fault-tolerant Control Strategy of DFIG-based Wind Turbines Using Takagi-Sugeno Multiple Models

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